refine TTS (#2500)

### What problem does this PR solve?

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

api/apps/conversation_app.py

 
     def stream_audio():
         try:
-            for chunk in tts_mdl.tts(text):
-                yield chunk
+            for txt in re.split(r"[，。/《》？；：！\n\r:;]+", text):
+                for chunk in tts_mdl.tts(txt):
+                    yield chunk
         except Exception as e:
             yield ("data:" + json.dumps({"retcode": 500, "retmsg": str(e),
                                          "data": {"answer": "**ERROR**: " + str(e)}},

api/apps/llm_app.py

     if msg:
         return get_data_error_result(retmsg=msg)
 
-    llm = {
+    llm_config = {
         "api_key": req["api_key"],
         "api_base": req.get("base_url", "")
     }
     for n in ["model_type", "llm_name"]:
         if n in req:
-            llm[n] = req[n]
+            llm_config[n] = req[n]
 
-    if not TenantLLMService.filter_update(
-            [TenantLLM.tenant_id == current_user.id, TenantLLM.llm_factory == factory], llm):
-        for llm in LLMService.query(fid=factory):
+    for llm in LLMService.query(fid=factory):
+        if not TenantLLMService.filter_update(
+                [TenantLLM.tenant_id == current_user.id,
+                 TenantLLM.llm_factory == factory,
+                 TenantLLM.llm_name == llm.llm_name],
+                llm_config):
             TenantLLMService.save(
                 tenant_id=current_user.id,
                 llm_factory=factory,
                 llm_name=llm.llm_name,
                 model_type=llm.model_type,
-                api_key=req["api_key"],
-                api_base=req.get("base_url", "")
+                api_key=llm_config["api_key"],
+                api_base=llm_config["api_base"]
             )
 
     return get_json_result(data=True)

rag/llm/tts_model.py

 
 class OpenAITTS(Base):
     def __init__(self, key, model_name="tts-1", base_url="https://api.openai.com/v1"):
+        if not base_url: base_url="https://api.openai.com/v1"
         self.api_key = key
         self.model_name = model_name
         self.base_url = base_url
 
         if response.status_code != 200:
             raise Exception(f"**Error**: {response.status_code}, {response.text}")
-        for chunk in response.iter_content(chunk_size=1024):
+        for chunk in response.iter_content():
             if chunk:
                 yield chunk